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Aioanei, A. C., Klein, J., Klein, K. M., Hunziker-Rodewald, R. R., & Michels, D. L. (2026). DeepHaddad: Enhancing Readability of Damaged Inscriptions with Synthetic Data. ACM journal on computing and cultural heritage : JOCCH, 19(1), Article 4. https://doi.org/10.1145/3727623 -
Peresman, A., Larsen, L. T., Mazepus, H., & Petersen, M. B. (2026). Do Populists Listen to Expertise? A Five-Country Study of Authority, Arguments, and Expert Sources. Political Studies, 74(1), 306-330. https://doi.org/10.1177/00323217251323402 -
Su, Z., Gao, Y., Dong, L., He, Y., Guo, Q., & Ma, P. (2026). Development and Utilization of Quantitative Detection for Probiotics Bacillus velezensis B31 with Potential Protection Against Tomato Fusarium Wilt. Probiotics and antimicrobial proteins, 18(1), 79-90. https://doi.org/10.1007/s12602-025-10503-8
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Islam, N. T., & Zhao, Z. (2026). How Good are LLMs at Retrieving Documents in a Specific Domain? In G. De Tré, S. Sotirov, J. Kacprzyk, G. Psaila, G. Smits, T. Andreasen, G. Bordogna, & H. Legind Larsen (Eds.), Flexible Query Answering Systems: 16th International Conference, FQAS 2025, Burgas, Bulgaria, September 11–13, 2025 : proceedings (pp. 277-288). (Lecture Notes in Computer Science; Vol. 16119), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-032-05607-8_26 -
Kleijn, B. J. K., & Rizzelli, S. (2026). Contiguity and Remote Contiguity of Some Random Graphs. Journal of Applied Probability, 63(1), 316-333. https://doi.org/10.1017/jpr.2025.10029
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